图 书 馆
美国陆军旋翼机机械健康诊断分类器开发过程A Classifier Development Process for Mechanical Health Diagnostics on US Army Rotorcraft |
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| 课程网址: | https://videolectures.net/videos/kdd2016_wilson_mechanical_health |
| 主讲教师: | Andrew W. Wilson |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2025-02-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Due to various historical events, the Aviation Engineering Directorate (AED) of the United States Army has a unique, large data set describing the mechanical health of rotorcraft systems. This data set includes detailed information regarding non-critical failures and wear over a significant period and number of aircraft, each of which is instrumented to take measurements of mechanical vibrations and other parameters every flight. Attempts to utilize this data led AED to investigate the efficacy of machine learning and knowledge discovery from data (KDD) techniques. This paper outlines a tool–termed the Crawler–which AED developed to automate the process of creating diagnostic classifiers, and its application to two specific problems of interest: improving the usability and performance of a deployed gearbox health classifier, and rapidly developing a model to search sensor data for a newly identified fault mode. |
| 关 键 词: | 旋翼机机械; 健康诊断; 分类器 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-03-11：liyq |
| 最后编审: | 2025-03-11：liyq |
| 阅读次数: | 6 |